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Measuring the dynamics of information processing on a local scale in time and space
JT Lizier - Directed information measures in neuroscience, 2014 - Springer
Studies of how information is processed in natural systems, in particular in nervous systems,
are rapidly gaining attention. Less known however is that the local dynamics of such …
are rapidly gaining attention. Less known however is that the local dynamics of such …
Selection of representative indicators for flood risk assessment using marginal entropy and mutual information
H Joo, W Choi, C Jeon - Journal of Flood Risk Management, 2024 - Wiley Online Library
Floods are the most frequent types of natural disasters. From the perspective of disaster
management, indicators associated with floods are important for accurate flood risk …
management, indicators associated with floods are important for accurate flood risk …
Cognitive extra-mathematical explanations
T Holmes - Synthese, 2022 - Springer
This paper advances the view that some explanations in cognitive science are extra-
mathematical explanations. Demonstrating the plausibility of this interpretation centers …
mathematical explanations. Demonstrating the plausibility of this interpretation centers …
Bridging Defects in Chronic Spinal Cord Injury Using Peripheral Nerve Grafts: From Basic Science to Clinical
SM Amr - Recovery of Motor Function Following Spinal Cord …, 2016 - books.google.com
Nerve grafting of the injured spinal cord should pursue a sixfold attack: lysing the
fibrosis/gliosis to an extent that allows settling of the basal lamina preventing meanwhile …
fibrosis/gliosis to an extent that allows settling of the basal lamina preventing meanwhile …
[HTML][HTML] Measuring spectrally resolved information processing in neural data
E Pinzuti - 2023 - tubiblio.ulb.tu-darmstadt.de
Background: The human brain, an incredibly complex biological system comprising billions
of neurons and trillions of synapses, possesses remarkable capabilities for information …
of neurons and trillions of synapses, possesses remarkable capabilities for information …
Information driven self-organization of agents and agent collectives
M Harder - 2014 - uhra.herts.ac.uk
From a visual standpoint it is often easy to point out whether a system is considered to be
self-organizing or not, though a quantitative approach would be more helpful. Information …
self-organizing or not, though a quantitative approach would be more helpful. Information …
Measuring information processing in neural data: The application of transfer entropy in neuroscience
P Wollstadt - 2017 - publikationen.ub.uni-frankfurt.de
It is a common notion in neuroscience research that the brain and neural systems in
general" perform computations" to generate their complex, everyday behavior (Schnitzer …
general" perform computations" to generate their complex, everyday behavior (Schnitzer …
[PDF][PDF] and Mohamad Abdel-Wahed Kotb
SM Amr, SN Amin - scholar.archive.org
Nerve grafts could be conceived of as operator channels (rather than anatomical guidance
channels), proximal nerve stumps as operator donors, and distal nerve stumps and the …
channels), proximal nerve stumps as operator donors, and distal nerve stumps and the …
[PDF][PDF] High-Throughput computational methods in sequencing and immuno-oncology: Identifying immunogenic mutations and T-cell receptor repertoire dynamics
IA Sivakumar - 2020 - jscholarship.library.jhu.edu
In the past two decades, the notion of disease and genetic variation has become uniquely
tailored for individuals, with computational algorithms translating large quantities of data to …
tailored for individuals, with computational algorithms translating large quantities of data to …
Interpretable Machine Learning for Electro-encephalography
SM Keller - 2020 - edoc.unibas.ch
While behavioral, genetic and psychological markers can provide important information
about brain health, research in that area over the last decades has much focused on …
about brain health, research in that area over the last decades has much focused on …